43 Course Summary
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43 Course Summary
4:07
42 Summary
Cloud Google
42 Summary
0:44
40 Lab introduction Predicting loan risk with AutoML
Cloud Google
40 Lab introduction Predicting loan risk with AutoML
0:34
41 Lab recap Predicting loan risk with AutoML
Cloud Google
41 Lab recap Predicting loan risk with AutoML
3:01
39 Model Deployment and Monitoring
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39 Model Deployment and Monitoring
3:46
38 Model Evaluation
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38 Model Evaluation
4:58
37 Model Training
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37 Model Training
3:59
36 Data Preparation
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36 Data Preparation
3:23
35 Introduction
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35 Introduction
5:34
34 Summary
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34 Summary
2:01
33 AI Solutions
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33 AI Solutions
2:21
32 Vertex AI
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32 Vertex AI
3:51
30 AutoML
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30 AutoML
6:54
29 Pre built APIs
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29 Pre built APIs
2:13
28 Options to build ML models
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28 Options to build ML models
3:44
27 Introduction
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27 Introduction
2:18
31 Custom Training
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31 Custom Training
1:20
26 Summary
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26 Summary
1:43
25 BigQuery ML key commands
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25 BigQuery ML key commands
3:26
24 BigQuery ML project phases
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24 BigQuery ML project phases
2:02
23 Using BigQuery ML to predict customer lifetime value
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23 Using BigQuery ML to predict customer lifetime value
4:37
22 Introduction to BigQuery ML
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22 Introduction to BigQuery ML
4:25
21 BigQuery demo San Francisco bike share
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21 BigQuery demo San Francisco bike share
11:34
20 Storage and analytics
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20 Storage and analytics
3:51
19 Introduction
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19 Introduction
5:30
18 Summary of Second section
Cloud Google
18 Summary of Second section
1:06
17 Lab introduction Creating a streaming data pipeline for a Real Time dashboard with Dataflow
Cloud Google
17 Lab introduction Creating a streaming data pipeline for a Real Time dashboard with Dataflow
0:53
16 Visualization with Data Studio
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16 Visualization with Data Studio
1:28
15 Visualization with Looker
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15 Visualization with Looker
3:00
14 Implementing streaming pipelines on Cloud Dataflow
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14 Implementing streaming pipelines on Cloud Dataflow
3:36
13 Designing streaming pipelines with Apache Beam
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13 Designing streaming pipelines with Apache Beam
2:17
12 Message oriented architecture
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12 Message oriented architecture
4:57
11 Big data challenges
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11 Big data challenges
2:02
10 Introduction of Data Engineering for streaming data
Cloud Google
10 Introduction of Data Engineering for streaming data
2:38
9 Summary
Cloud Google
9 Summary
1:16
8 Lab introduction Exploring a BigQuery Public Dataset
Cloud Google
8 Lab introduction Exploring a BigQuery Public Dataset
0:47
7 Getting Started with Google Cloud Platform and Qwiklabs
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7 Getting Started with Google Cloud Platform and Qwiklabs
4:57
6 Customer example Gojek
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6 Customer example Gojek
4:00
5 Big data and ML product categories
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5 Big data and ML product categories
2:33
4 The history of big data and ML products
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4 The history of big data and ML products
4:21
3 Storage
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3 Storage
5:44
2 Compute
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2 Compute
5:49
1 Introduction
Cloud Google
1 Introduction
1:58